Triple
T15403908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisne |
E368397
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Guignicourt
Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
|
E1155314
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Guignicourt | Statement: [Aisne, passesThrough, Guignicourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guignicourt Context triple: [Aisne, passesThrough, Guignicourt]
-
A.
Pontois
Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
-
B.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
-
C.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
D.
Dolancourt
Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
-
E.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Guignicourt Triple: [Aisne, passesThrough, Guignicourt]
Generated description
Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guignicourt Target entity description: Guignicourt is a commune in northern France located in the Aisne department in the Hauts-de-France region.
-
A.
Pontois
Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
-
B.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
-
C.
Beaucourt
Beaucourt is a small French commune located in the northeastern region of Bourgogne-Franche-Comté near the Swiss border.
-
D.
Dolancourt
Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
-
E.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8fde64819082ec0c68df305561 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13584f8881908b2527c51f85ae28 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff145ac8e081908b075cee67e82aa3 |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1509e5a48190b69f1a44d793e07d |
completed | May 9, 2026, 11:05 a.m. |
Created at: April 10, 2026, 3:19 a.m.